Senior SDET – Data

Quanata

. Design and implement scalable automated testing frameworks for complex data pipelines, processing workflows, and machine learning models .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $198,000 - $281,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing automated testing frameworks for data pipelines and machine learning models, with a strong focus on data quality, validation, and continuous integration practices. Proven ability to mentor junior engineers and collaborate effectively across teams to enhance software quality throughout the development lifecycle.

Highest-signal resume keywords

Automated Testing Framework DevelopmentData Quality ValidationMachine Learning TestingContinuous Integration and DeliveryRoot Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software TestingData Pipeline TestingSchema ValidationData Drift AnalysisModel Accuracy EvaluationAutomated Validation ApproachesDistributed Data ProcessingData IntegrityExploratory TestingTesting Strategies

Soft Skills

Analytical SkillsProblem-SolvingMentoringCollaboration

Tools & Technologies

Continuous Integration ToolsAutomation FrameworksData Processing SystemsMachine Learning Workflows

Industry Keywords

Data QualityData ValidationSoftware Development LifecycleQuality Engineering Best Practices

About the role

Key responsibilities & impact

Design and implement scalable automated testing frameworks for complex data pipelines, processing workflows, and machine learning models
Develop testing strategies covering data quality, schema integrity, data drift, model accuracy, bias, and regression
Validate large-scale distributed data systems for accuracy, reliability, performance, and resilience
Partner with engineering, data science, and operations teams to embed quality throughout the software development and delivery lifecycle
Conduct exploratory testing to identify edge cases and risks in new features, data outputs, and machine learning workflows
Build continuous validation into automated development and deployment processes
Investigate production data and model failures, identify root causes, and help drive resolutions
Mentor junior SDETs and contribute to testing strategies, standards, and quality engineering best practices

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and relevant experience
Typically 6–8 years of software testing experience, including at least 3 years focused on data platform or machine learning testing
Strong programming skills and experience building and maintaining automated testing frameworks
Hands-on experience testing complex data platforms, pipelines, and distributed data processing systems
Strong understanding of data validation, data quality, integrity, consistency, and schema validation
Understanding of machine learning concepts, workflows, and model evaluation methods
Experience developing automated validation approaches for data and machine learning systems
Deep understanding of continuous integration, continuous delivery, and infrastructure automation practices
Ability to troubleshoot complex data and model failures and contribute to root cause analysis
Ability to collaborate across engineering, data science, and operations teams
Strong analytical and problem-solving skills
Ability to mentor other quality engineers and contribute to shared testing standards and best practices

Benefits

Comp & perks

Medical, dental, vision, life insurance and supplemental income plans for you and your dependents
Headspace app subscription
Monthly wellness allowance
401(k) Plan with a company match
One-time $2K payment for in-home office equipment and furniture
Fully provisioned MacBook Pro
Four weeks of PTO in the first year of employment
Twelve weeks of fully paid parental leave for birthing and non-birthing parents
Up to $5000 each year for professional learning, continuing education and career development
LinkedIn Learning subscriptions
Coaching opportunities through BetterUp
Remote-first work arrangement
Core meeting hours from 9AM–2PM Pacific time
Occasional travel is not required